On discrete choice models of housing demand

Börsch‐Supan, Axel; Pitkin, John

doi:10.1016/0094-1190(88)90036-8

Cited by 44 publications

(20 citation statements)

References 6 publications

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“…ownership vs rental) and housing size for Spanish households in 1990 and 2000, which allowed us to detect changes in the decisions of Spanish households during this period. This chronological study enriches the analysis of housing-related choices compared with previous studies such as those of Börsch-Supan and Pitkin (1988) and Blackley and Ondrich (1988).…”

Section: Introductionmentioning

confidence: 95%

Comparative Analysis of the Social, Demographic and Economic Factors that Influenced Housing Choices in Spain in 1990 and 2000

Colom

Molés

2008

Urban Studies

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Residential demand (housing consumption) is affected by demographic and social characteristics such as population growth and ageing, changes in the birth rate, the rate at which new households are created, migratory movements of citizens, changes in the average size of the household and delays in forming a household. It is also related to economic factors such as the condition of the economy, changes in employment rates and changes in the mortgage market. AbstractThe housing market is an important sector in the economy of any country. Residential demand (also referred to as 'housing consumption') depends on many demographic and social characteristics of the country's population and is also related to economic factors. The aim of the present paper was to evaluate the joint effects of economic, demographic and social factors on household behaviour with respect to housing choices. In addition, an attempt was made to determine the impact of recent economic and structural changes in Spanish society (in 1990 and 2000) on residential demand. It was found that the consequences of these structural changes will have medium-and long-term effects on housing demand and that the current economic situation has signifi cantly affected the short-term changes in this demand.

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Section: Introductionmentioning

confidence: 95%

Comparative Analysis of the Social, Demographic and Economic Factors that Influenced Housing Choices in Spain in 1990 and 2000

Colom

Molés

2008

Urban Studies

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“…This property is called Independence of Irrelevant Alternatives (IIA). It implies that the cross-elasticities of the probability shares must be equal (Boersch-Supan, 1988). In the example of comprehensive commuting mode choice model, the IIA assumption implies that the elasticity of the probability of choice of bus with respect to the cost of travel by bus is the same as the elasticity with respect to the cost of travel by hired taxi.…”

Section: Modal Choice Modelmentioning

confidence: 99%

Modes of Commuting in Mumbai: A Discrete Choice Analysis

Tiwari

Kawakami

2001

Rev Urban & Reg Develop

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Using a nested multinomial logit model (NMNL), this paper estimates the choice probabilities and demand elasticities of various modal alternatives for Mumbai using 1990 trip origination and destination data. The results indicate that with an increase in the cost of private transit system, market share is reduced. The result of this experiment is highly elastic private commuting mode demand. In addition, reduction in the market share of own vehicles is larger than that of hired vehicles. The increase in the cost of mass transit system reduces its share but is inelastic. Decrease in the market share of one mode is accompanied by increase in the market share of others. Income has a positive effect on the market share of private transit modes, particularly on the own vehicles' share. Other explanatory variables such as distance have a negative effect on mass transit system and duration has a negative elasticity for all modes of transportation.

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“…With modifications allowing for uncertainty and transactions costs, user costs have become an important argument in the specification of tenure choice models (King, 1980;Rosenthal, 1988;Losenberg, 1983;Smith et al, 1988;Borsch-Supan and Pitkin, 1988). The impact of total expenditure (wealth) on housing decisions will be conditional upon this relative price of housing services.…”

Section: E [ U ] -E [ Z ( L +Y)('-"u(x)]mentioning

confidence: 99%

Rationing, Mortgage Demand and the Impact of Financial Deregulation†

Leece

1995

Oxf Bull Econ Stat

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On discrete choice models of housing demand

Cited by 44 publications

References 6 publications

Comparative Analysis of the Social, Demographic and Economic Factors that Influenced Housing Choices in Spain in 1990 and 2000

Comparative Analysis of the Social, Demographic and Economic Factors that Influenced Housing Choices in Spain in 1990 and 2000

Modes of Commuting in Mumbai: A Discrete Choice Analysis

Rationing, Mortgage Demand and the Impact of Financial Deregulation†

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